import functools
import operator

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__  =					logging.get_logger(__name__)

lowerCamelCase__  =					{
    '''asapp/sew-tiny-100k''': '''https://huggingface.co/asapp/sew-tiny-100k/resolve/main/config.json''',
    # See all SEW models at https://huggingface.co/models?filter=sew
}




class 					_UpperCAmelCase			(     lowerCAmelCase  ):



 '''simple docstring'''




 __A			       =					'''sew'''







 def __init__(		self				:   str							, lowercase_				:   List[str]=32							, lowercase_				:   Tuple=768							, lowercase_				:   int=12							, lowercase_				:   Union[str, Any]=12							, lowercase_				:   Tuple=3072							, lowercase_				:   Union[str, Any]=2							, lowercase_				:   str="gelu"							, lowercase_				:   Any=0.1							, lowercase_				:   Tuple=0.1							, lowercase_				:   Optional[int]=0.1							, lowercase_				:   Dict=0.0							, lowercase_				:   str=0.1							, lowercase_				:   Tuple=0.1							, lowercase_				:   Union[str, Any]=0.02							, lowercase_				:   str=1e-5							, lowercase_				:   Union[str, Any]="group"							, lowercase_				:   int="gelu"							, lowercase_				:   Any=(64, 128, 128, 128, 128, 256, 256, 256, 256, 512, 512, 512, 512)							, lowercase_				:   Tuple=(5, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1)							, lowercase_				:   List[Any]=(10, 3, 1, 3, 1, 3, 1, 3, 1, 2, 1, 2, 1)							, lowercase_				:   List[str]=False							, lowercase_				:   Union[str, Any]=128							, lowercase_				:   Union[str, Any]=16							, lowercase_				:   Optional[int]=True							, lowercase_				:   Dict=0.05							, lowercase_				:   str=10							, lowercase_				:   List[Any]=2							, lowercase_				:   str=0.0							, lowercase_				:   Any=10							, lowercase_				:   int=0							, lowercase_				:   Union[str, Any]="mean"							, lowercase_				:   Tuple=False							, lowercase_				:   Optional[int]=False							, lowercase_				:   Union[str, Any]=256							, lowercase_				:   str=0							, lowercase_				:   Optional[Any]=1							, lowercase_				:   Any=2							, **lowercase_				:   List[Any]							, )						->	Union[str, Any]:


   """simple docstring"""







   super().__init__(**lowercase_							, pad_token_id=lowercase_							, bos_token_id=lowercase_							, eos_token_id=lowercase_)
   _UpperCamelCase           =    hidden_size
   _UpperCamelCase           =    feat_extract_norm
   _UpperCamelCase           =    feat_extract_activation
   _UpperCamelCase           =    list(lowercase_)
   _UpperCamelCase           =    list(lowercase_)
   _UpperCamelCase           =    list(lowercase_)
   _UpperCamelCase           =    conv_bias
   _UpperCamelCase           =    num_conv_pos_embeddings
   _UpperCamelCase           =    num_conv_pos_embedding_groups
   _UpperCamelCase           =    len(self.conv_dim)
   _UpperCamelCase           =    num_hidden_layers
   _UpperCamelCase           =    intermediate_size
   _UpperCamelCase           =    squeeze_factor
   _UpperCamelCase           =    hidden_act
   _UpperCamelCase           =    num_attention_heads
   _UpperCamelCase           =    hidden_dropout
   _UpperCamelCase           =    attention_dropout
   _UpperCamelCase           =    activation_dropout
   _UpperCamelCase           =    feat_proj_dropout
   _UpperCamelCase           =    final_dropout
   _UpperCamelCase           =    layerdrop
   _UpperCamelCase           =    layer_norm_eps
   _UpperCamelCase           =    initializer_range
   _UpperCamelCase           =    vocab_size

   if (
       (len(self.conv_stride) != self.num_feat_extract_layers)
       or (len(self.conv_kernel) != self.num_feat_extract_layers)
       or (len(self.conv_dim) != self.num_feat_extract_layers)
   ):
     raise ValueError(
         "Configuration for convolutional layers is incorrect."
         "It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`,"
         f'but is `len(config.conv_dim) = {len(self.conv_dim)}`, `len(config.conv_stride)'
         f'= {len(self.conv_stride)}`, `len(config.conv_kernel) = {len(self.conv_kernel)}`.')

   # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
   _UpperCamelCase           =    apply_spec_augment
   _UpperCamelCase           =    mask_time_prob
   _UpperCamelCase           =    mask_time_length
   _UpperCamelCase           =    mask_time_min_masks
   _UpperCamelCase           =    mask_feature_prob
   _UpperCamelCase           =    mask_feature_length
   _UpperCamelCase           =    mask_feature_min_masks

   # ctc loss
   _UpperCamelCase           =    ctc_loss_reduction
   _UpperCamelCase           =    ctc_zero_infinity

   # sequence classification
   _UpperCamelCase           =    use_weighted_layer_sum
   _UpperCamelCase           =    classifier_proj_size







 @property
 def 		__UpperCAmelCase				(		self				:   List[str])						->	Optional[Any]:


   """simple docstring"""







   return functools.reduce(operator.mul							, self.conv_stride							, 1)





from math import isqrt, loga


def 				lowerCAmelCase__       (			a__ )      ->list[int]:




  '''simple docstring'''

  _UpperCamelCase           =    [True] * max_number
  for i in range(2    ,     isqrt(max_number - 1 ) + 1 ):
    if is_prime[i]:
      for j in range(i**2    ,     a__    ,     a__ ):
        _UpperCamelCase           =    False

  return [i for i in range(2    ,     a__ ) if is_prime[i]]


def 				lowerCAmelCase__       (			a__ = 800_800    ,     a__ = 800_800 )      ->int:




  '''simple docstring'''

  _UpperCamelCase           =    degree * loga(a__ )
  _UpperCamelCase           =    int(a__ )
  _UpperCamelCase           =    calculate_prime_numbers(a__ )

  _UpperCamelCase           =    0
  _UpperCamelCase           =    0
  _UpperCamelCase           =    len(a__ ) - 1
  while left < right:
    while (
        prime_numbers[right] * loga(prime_numbers[left] )
        + prime_numbers[left] * loga(prime_numbers[right] )
        > upper_bound
    ):
      right -= 1
    hybrid_integers_count += right - left
    left += 1

  return hybrid_integers_count


if __name__ == "__main__":
   print(F"{solution() = }")




